{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9b1a43a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\liangcheng\\AppData\\Local\\Temp\\ipykernel_16540\\2535878430.py:32: FutureWarning: 'w' is deprecated and will be removed in a future version, please use 'W' instead.\n",
      "  df = df.resample(freq).agg({'open': 'first', 'close': 'last'})\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "涨跌幅大于 2% 概率：0.3768\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import akshare as ak\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MultipleLocator, MaxNLocator\n",
    "import datetime\n",
    "\n",
    "# === 用户可配置参数 ===\n",
    "freq = 'w'  # 数据频率：'D' 每日, 'W' 每周, 'M' 每月, 'Q' 每季度\n",
    "bin_width = 0.2  # X轴的涨跌幅刻度单位（百分比）\n",
    "years = 8  # 回溯年数\n",
    "\n",
    "# === 日期处理 ===\n",
    "today = datetime.datetime.today()\n",
    "full_start_date = (today - pd.DateOffset(years=years)).strftime('%Y%m%d')\n",
    "end_date = today.strftime('%Y%m%d')\n",
    "start_date = pd.to_datetime(full_start_date)\n",
    "\n",
    "# === 获取数据，注意此处 df 的列名应为英文 ===\n",
    "# df = 你实际获取的 DataFrame，列名应该已经是英文：date, open, close 等\n",
    "\n",
    "df = ak.stock_zh_a_daily(symbol=\"sh603383\", start_date=full_start_date, end_date=end_date, adjust=\"qfq\")\n",
    "df['date'] = pd.to_datetime(df['date'])  # 用英文字段\n",
    "df = df[['date', 'open', 'close']]  # 保留必要字段\n",
    "\n",
    "# 筛选数据\n",
    "df = df[df['date'] >= start_date].copy()\n",
    "df.sort_values('date', inplace=True)\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# 重采样（按频率转换）\n",
    "if freq != 'D':\n",
    "    df = df.resample(freq).agg({'open': 'first', 'close': 'last'})\n",
    "    df.dropna(inplace=True)\n",
    "\n",
    "# 添加涨跌幅（百分比）\n",
    "df['涨跌幅'] = df['close'].pct_change() * 100\n",
    "df.dropna(subset=['涨跌幅'], inplace=True)\n",
    "\n",
    "# === 绘图 ===\n",
    "fig, ax = plt.subplots(figsize=(18, 6))\n",
    "\n",
    "# 自动计算直方图区间数\n",
    "min_change = df['涨跌幅'].min()\n",
    "max_change = df['涨跌幅'].max()\n",
    "bins = int((max_change - min_change) / bin_width)\n",
    "n, bins, patches = ax.hist(df['涨跌幅'], bins=bins, rwidth=0.9, edgecolor='black')\n",
    "\n",
    "upper_bound = 2\n",
    "\n",
    "# 筛选在区间内的数据\n",
    "within_range = df[(df['涨跌幅'] >= upper_bound)]\n",
    "\n",
    "# 计算次数和概率\n",
    "count_within_range = len(within_range)\n",
    "total_count = len(df)\n",
    "probability_within_range = count_within_range / total_count\n",
    "\n",
    "# 打印结果\n",
    "print(f\"涨跌幅大于 {upper_bound}% 概率：{probability_within_range:.4f}\")\n",
    "\n",
    "# 设置X轴刻度间距\n",
    "ax.xaxis.set_major_locator(MultipleLocator(bin_width))\n",
    "\n",
    "# 设置颜色：涨（红），跌（绿）\n",
    "for patch in patches:\n",
    "    if patch.get_x() + patch.get_width() / 2 >= 0:\n",
    "        patch.set_facecolor('red')\n",
    "    else:\n",
    "        patch.set_facecolor('green')\n",
    "\n",
    "# 设置标签和标题\n",
    "ax.set_xlabel(\"涨跌幅（%）\", fontsize=12)\n",
    "ax.set_ylabel(\"出现次数\", fontsize=12)\n",
    "ax.set_title(f\"比亚迪（002594）近{years}年 {freq} 级别涨跌幅分布\", fontsize=14)\n",
    "\n",
    "# 设置Y轴为整数\n",
    "ax.yaxis.set_major_locator(MaxNLocator(integer=True))\n",
    "\n",
    "# X轴标签旋转\n",
    "plt.xticks(rotation=-90)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
